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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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AI Technologies, Privacy, and Security.

David Elliott1, Eldon Soifer1

  • 1Department of Philosophy and Classics, University of Regina, Regina, SK, Canada.

Frontiers in Artificial Intelligence
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Summary
This summary is machine-generated.

People often confuse AI security with AI privacy. This research clarifies that while AI threats often involve security, true privacy interests are crucial for autonomy and identity development.

Keywords:
artificial intelligenceautonomyethicsprivacysecuritysemantic understanding

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Area of Science:

  • Artificial Intelligence Ethics
  • Human-Computer Interaction
  • Societal Impact of Technology

Background:

  • Public concerns regarding artificial intelligence (AI) frequently center on privacy, yet the concept of privacy itself is often ill-defined.
  • This ambiguity makes it challenging to address user concerns and to clearly articulate AI's potential threats to individual interests.
  • Existing discussions often conflate distinct types of interests, hindering a nuanced understanding of AI's impact.

Purpose of the Study:

  • To differentiate between security interests and privacy interests in the context of AI technologies.
  • To elucidate the implications of these distinctions for understanding AI-related privacy concerns.
  • To highlight the often-overlooked significance of privacy interests for personal autonomy and identity formation.

Main Methods:

  • Conceptual analysis of privacy and security interests related to AI.
  • Distinguishing between interests in data security and interests in informational privacy.
  • Examining the relationship between privacy interests and the development of individual autonomy and identity.

Main Results:

  • The study argues that many expressed concerns about AI and privacy are primarily related to security interests (e.g., data breaches, unauthorized access).
  • It posits that focusing solely on security overlooks the intrinsic value of privacy interests, which are vital for autonomy and identity.
  • Distinguishing these interests provides a clearer framework for assessing AI's impact.

Conclusions:

  • Clarifying the distinctions between security and privacy interests is essential for effectively addressing public concerns about AI.
  • Recognizing the role of privacy in fostering autonomy and identity development is crucial for responsible AI design and deployment.
  • Improved conceptual clarity can aid AI developers in communicating risks and benefits to users more effectively.